124 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" Postdoctoral positions in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- University of Tübingen
- Heidelberg University
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- ; University of Copenhagen
- DAAD
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute of Biophysics, Frankfurt am Main
- 11 more »
- « less
-
Field
-
Transport. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. Their evaluation forms the basis for the program-oriented
-
! The Clinic focuses on inflammatory diseases of the central nervous system, especially multiple sclerosis. As part of the Department of Neurology, we study the pathogenesis and treatment of this and other
-
and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
-
project within the SusMax network focused on developing interpretable machine-learning frameworks for kinetic multiphase reaction-network discovery in the catalytic conversion of renewable feedstocks
-
machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
-
algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
-
Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 21 days ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
-
the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
-
. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
-
. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to